I'm a Data analyst with strong experience in Python, data modeling and analytical workflows.
I build data-driven solutions to explore, model and interpret complex datasets across various domains.
I hold a PhD in Science, during which I developed numerous methodologies for data analysis, 3D and temporal interpolation, uncertainty estimation, and geostatistical approaches. I published several scientific papers and presented my work at international conferences.
Since then, I have worked in a private engineering company, where I continue to develop data-driven solutions and client-oriented approaches, while strengthening my project management skills.
- Programming & Data: Python (Pandas, NumPy, SciPy), SQL
- Data analysis: exploratory analysis, time series, statistical modeling, ML
- Data processing: data cleaning, pipelines, reproducible workflows
- Visualization: Dashboard creation, Streamlit, Matplotlib, Seaborn, Plotly, Tableau
- Tools: Git, Jupyter, Linux
- Data analytics & decision support
- Applied data science
- Quantitative analysis in various sectors (finance, energy, consulting, tech)
Analyzed and modeled time series to detect trends and return time event for environnemental risk estimation. Skills: Python, statsmodels, visualization, modeling Impact: Identified patterns and future scenarios from real or simulated data. → repo
Analyzed and modeled spatial data to understand geographic structures and relationships. Skills: Python, geostatistics, Multipoint simulation, Hydrogeological modeling, stochastic simulations, Uncertainty quantification, 3D modeling Impact: Built spatial models and estimated continuous variables using geostatistical methods. → repo
Applied advanced geostatistical methods to estimate glacial volumes and rock structures. Skills: Multipoint simulation, Python, stochastic simulations, models comparaison Impact: Created realistic 3D models and extracted geological insights from heterogeneous data. → repo
Performed numerical simulation and uncertainty quantification around tunnel karst flow estimation for real engineering decision-making project. Skills: Python, data cleaning, time series analysis Impact: Improved reliability and quality of field-collected data. → repo
Simulated travel times of rockfalls in complex topography. Skills: Python, numerical methods, fast marching algorithm Impact: Developed robust physical models for risk assessment and hazard evaluation. → repo
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